Hanzhi Ding is a data scientist with nine years of hands-on experience combining academic research and practical engineering, currently based in Burnaby, BC. He holds a Master of Computer Science with a Big Data concentration from Simon Fraser University and a BS in Computer Science from UC Davis, and has built predictive models with scikit-learn and PyTorch while performing data processing and visualization using Python, Pandas, and Plotly. His background spans KNN-based spectral sequence prediction with 97% test accuracy, fastText word-embedding work in healthcare analytics, and automated data collection tooling for large-scale social media APIs. Comfortable across SQL databases, scripting, and model development, he brings both research rigor and production-minded engineering to data scientist or analyst roles.
9 years of coding experience
Bachelor of Science - BS, Computer Science, 3.63/4.00, Bachelor of Science - BS, Computer Science, 3.63/4.00 at University of California, Davis
Associate of Science (A.S.), Computer Science, Associate of Science (A.S.), Computer Science at Diablo Valley College
Master of Computer Science, Big Data Concentration, Master of Computer Science, Big Data Concentration at Simon Fraser University
Contributions:4 PRs, 12 pushes, 2 branches in 2 years 5 months
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